Near real-time analysis of airframe certification test data
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- Near real-time analysis of...
In civil aviation structure improvements in strength and durability can reduce aircraft weight and allow to increase the inspection intervals. However, introducing a new structural material for an airframe is costly and takes several years, so there is a significant need for better certification processes.
Start date: 01/11/2015
Duration in months: 18
Problem Description
The development of aircraft for civil aviation is driven largely by the economics of the materials constituting the airframe. Improvements in strength and durability can reduce aircraft weight and allow regulators to increase the inspection intervals.
Goals
Reduce time to solution
Challenges
There is a continuous demand for better materials and a greater understanding of how these materials perform in aircraft components. However, introducing a new structural material for an airframe is costly and takes several years, so there is a significant need for better certification processes.
Innovation results
The approach taken in this experiment was to use KE-chain, together with Colosso’s data analysis and storage framework to calibrate a new algorithm to model materials based on data from fatigue tests. An HPC environment provided by Gompute was used to provide on-demand computing resources.
Business impact
KE-works will integrate Pivotal and KE-chain's features, enabling real-time data processing and evaluation. The cloud-based HPC system makes these offerings more competitive. The experiment strengthens KE-works and Colosso's competitive position, giving a potential increment in annual revenue of 100k€.